This MCP server turns "let an LLM watch a video" into a reproducible local pipeline: scene-aware keyframe extraction with sliding-window dedup, local Whisper transcription, and a local cross-video memory index. MIT-licensed, not official, maintained by an independent developer. It suits users willing to install ffmpeg and who value local processing and citable evidence; it is a poor fit for those expecting a hosted service or official support.
claude-real-video (crv) is an MIT-licensed Python tool that turns a video into material an LLM can actually read: scene-change keyframe extraction with sliding-window deduplication, local Whisper transcription with timestamps, and outputs such as frames.json, transcript.json and MANIFEST.txt. It also ships an MCP server (crv-mcp) so MCP clients like Claude Desktop, Claude Code and Cursor can ask for a video to be watched directly. Fetching (yt-dlp), frame extraction (ffmpeg) and transcription all run on your own machine; only the frames or text you choose to paste into a cloud LLM leave it. It is built by an independent developer, Leo Huang, and is not an official Anthropic project.
{
"mcpServers": {
"crv": {
"command": "crv-mcp"
}
}
}